Computing with time: From neural networks to sensor networks

Computer Journal

Volumn 51, Issue 4, 2008, Pages 511-522

  Szymanski, Boleslaw K ^a   Chen, Gilbert G ^a  

^a Rensselaer Polytechnic Institute   (United States)

Author keywords

Computing paradigm; Neural network; Sensor network; Touting

Indexed keywords

ARTIFICIAL INTELLIGENCE; AUDITORIUMS; BOOLEAN FUNCTIONS; DETECTORS; NEURAL NETWORKS; PARALLEL ALGORITHMS; RADIO BROADCASTING; ROUTING ALGORITHMS; ROUTING PROTOCOLS; SENSORS; WIRELESS SENSOR NETWORKS;

(001) PARAMETER; ACTION POTENTIALS; APPLIED (CO); ARTIFICIAL NEURONS; BASIC IDEA; BRITISH COMPUTER SOCIETY (BCS); BROADCAST COMMUNICATION; COMPUTING PARADIGMS; DESIRABLE PROPERTIES; DISTRIBUTED ALGORITHMS; HOPFIELD; OXFORD UNIVERSITY; POSITIVE NUMBERS;

SENSOR NETWORKS;

EID: 46749112746     PISSN: 00104620     EISSN: 14602067     Source Type: Journal    
DOI: 10.1093/comjnl/bxm109     Document Type: Article

References (33)

1. Hopfield, J.J., Brody, C.D. and Roweis, S. (1998) Computing with Action Potentials. Proc. Advances in Neural Information Processing Systems 10, Denver, CO, December 1-6, pp. 166-172. MIT Press, Cambridge, MA.
2. Hopfield, J.J. (1995) Pattern recognition computation using action potential timing for stimulus representation. Nature, 376, 33-36.
3. Hopfield, J.J. (1996) Transforming Neural Computations and Representing Time. Proc. Nat Acad. Sci. USA, 93, 15440-15444.
4. Unnikrishnan, K.P., Hopfield, J.J. and Tank, D.W. (1992) Speaker-independent digit recognition using a neural network with time-delayed connections. Neural Comput., 4, 108-119.
5. Gerstner, W. and Kistler, W.M. (2002) Spiking Neuron Models, Cambridge University Press, Oxford.
6. Maass, W. and Bishop, C.M. (1998) Pulsed Neural Networks. MIT Press, Cambridge, MA.
7. Bialek, W., Rieke, F., van Steveninck, R.R.D.R. and Warland, D. (1991) Reading a neural code. Science, 252, 1854-1856.
8. Thorpe, S., Fize, D. and Marlot, C. (1996) Speed of processing in the human visual system. Nature, 381, 520-522.
9. VanRullen, R. and Thorpe, S.J. (2001) Is it a bird? Is it a plane? Ultra-rapid visual categorisation of natural and artifactual objects. Perception, 30, 655-668.
10. VanRullen, R. and Thorpe, S.J. (2001) The time course of visual processing: From early perception to decision-making. J. Cogn. Neurosci., 13, 454-461.
11. Mowshowitz, A. and Bent, G. (2007) Formal Properties of Distributed Database Networks. Proc. First Annual Conf. Information Technology Alliance, Adelphi, MD, September 25-27. Available at http:// www.usukita.org/?q=node/130
12. Chen, G., Branch, J.W. and Szymanski, B.K. (2006) A self-selection technique for flooding and routing in wireless ad-hoc networks. J. Netw. Sys. Manage., 14, 359-380.
13. Wasilewski, K., Branch, J., Lisee, M. and Szymanski, B.K. (2007). Self-Healing Routing: A Study in Efficiency and Resiliency of Data Delivery in Wireless Sensor Networks. Proc. Unattended Ground, Sea, and Air Sensor Technologies and Applications IX, Orlando, FL, April 9-13, pp. 656218-1-656218-12, Vol. 6562. SPIE Press, Bellingham, WA.
14. Johnson, D.B., Maltz, D.A. and Broch, J. (2001) DSR: The Dynamic Source Routing Protocol for Multi-Hop Wireless Ad Hoc Networks. In Perkins, C.E. (ed.), Ad Hoc Networking. Addison-Wesley, Reading, MA.
15. Perkins, C.E. and Bhagwat, P. (1994) Highly dynamic destination-sequenced distance-vector routing (DSDV) for mobile computers. Comput. Commun. Rev., 24, 234.
16. Perkins, C.E. and Royer, E.M. (1999) Ad-hoc On-Demand Distance Vector Routing. Proc. WMCSA99, New Orleans, LA, February 25-26, pp. 90-100. IEEE CS Press, Los Alamitos, CA.
17. Ye, F., Zhong, G., Lu, S. and Zhang, L. (2005) Gradient broadcast: A robust data delivery protocol for large scale sensor networks. ACM Wirel. Netw., 11, 285-298.
18. Heissenbttel, M., Braun, T., Bernoulli, T. and Waelchli, M. (2004) BLR: beaconless routing algorithm for mobile ad hoc networks. Elsevier's Comput. Commun. J., 27, 1076-1086.
19. Zori, M. and Rao, R.R. (2003) Geographic Random Forwarding (GeRaF) for ad hoc and sensor networks: Multihop performance. IEEE Trans. Mob. Comput., 2, 337-348.
20. Blum, B.M., He, T., Son, S. and Stankovic, J.A. (2003) IGF: A Robust State-Free Communication Protocol for Sensor Networks. Technical Report CS-2003-11, University of Virginia, VA.
21. Xu, Y., Lee, W.-C., Xu, J. and Mitchell, G. (2005) PSGR: Priority-Based Stateless Geo-Routing in Wireless Sensor Networks. Proc. IEEE Conf. Mobile Ad-hoc and Sensor Systems, Washington, DC, November 7-10, p. 8. IEEE Press, Los Alamitos, CA.
22. Chen, D., Deng, J. and Varshney, P.K. (2005) A State-Free Data Delivery Protocol for Multihop Wireless Sensor Networks. Proc. IEEE Wireless Communications and Networking Conference, New Orleans, LA, March 13-17, pp. 1818-1823. IEEE Press, Los Alamitos, CA.
23. Gelenbe, E. and Lent, R. (2004) Power aware ad hoc cognitive packet networks. Ad Hoc Netw., 2, 205-216.
24. Perkins, C.E. and Belding-Royer, E.M. (1999) Ad hoc On-Demand Distance Vector Routing. Proc. 2nd IEEE Workshop on Mobile Computing Systems and Applications, New Orleans, LA, February 25-26, pp. 90-100. IEEE Press, Los Alamitos, CA.
25. Intanagonwiwat, C., Govindan, R. and Estrin, D. (2000) Directed Diffusion: A Scalable and Robust Communication Paradigm for Sensor Networks. Proc. ACM MobiCom, Boston, MA, August 6-11, pp. 56-67. ACM Press, New York, NY.
26. Rappaport, T.S. (2002) Wireless Communications: Principles and Practice. Prentice Hall, Upper Saddle River, NJ.
27. Crossbow Technology, Inc., http://www.xbow.com
28. Woo, A., Tong, T. and Culler, D. (2003) Taming the Underlying Challenges of Reliable Multihop Routing in Sensor Networks. Proc. ACM SenSys, Los Angeles, CA, November 5-7, pp. 56-67. ACM Press, New York, NY.
29. Chen, G., Branch, J.W. and Szymanski, B.K. (2005) Local Leader Election, Signal Strength Aware Flooding, and Routeless Routing. Proc. WMAN05, Parallel and Distributed Processing Symposium, Denver, CO, April 4-8, p. 244. IEEE CS Press, Los Alamitos, CA.
30. Chen, G., Branch, J.W. and Szymanski, B.K. (2006) A self-selection technique for flooding and routing in wireless ad-hoc networks. J. Netw. Syst. Manage., 14, 359-380.
31. Grossberg, S. (1976) Adaptive pattern-classification and universal recoding.1. parallel development and coding of neural feature detectors. Biol. Cybern., 23, 121-134.
32. Malsberg, V.D. (1973) Self-organizing of orientation sensitive cells in the striate cortex. Kybernetik, 14, 85-100
33. Rumelhart, D.E. and Zipser, D. (1985) Feature discovery by competitive learning. Cogn. Sci., 9, 75-112.